Murdoch University Dubai
Dubai, UAEPosted 1 weeks ago
Adjunct Lecturer – Discrete Mathematics and Logic (PART-TIME) • Fundamentals of Mathematics (PART-TIME) Division: Murdoch University Dubai Reports to: The Dean & Discipline Lead Employment Type: Adjunct / Part-Time Teaching Role Overview of the Role: Murdoch University Dubai is seeking a dedicated and knowledgeable Adjunct Lecturer to deliver MAS162 -Discrete Mathematics and Logic. The Adjunct Lecturer for Discrete Mathematics and Logic & Fundamentals of Mathematics will play a key role in delivering foundational mathematical knowledge to undergraduate students. This unit plays a critical role in developing students’ foundational understanding of discrete mathematics and logic, which are essential for computer science and related disciplines. It focuses on building analytical and problem-solving skills through topics such as logic, recursion, matrices, probability, and computational methods. We are seeking high-caliber professionals with a strong blend of academic expertise and practical experience in mathematics, statistics, or related fields. The ideal candidate will have experience in teaching mathematics at a tertiary level and demonstrate proficiency in tools such as MATLAB or other programming languages, with the ability to connect theoretical concepts to practical applications. Key Responsibilities: • Deliver lectures and tutorials in Discrete Mathematics and Logic to undergraduate students • Prepare and mark assessments in line with university standards • Provide academic guidance and support to students • Apply real-world and computational examples to enhance student understanding • Work closely with the Unit Coordinator and adhere to academic delivery guidelines • Utilize relevant teaching tools and platforms as required Required Qualifications • AQF Level 9 Master’s degree or higher in Mathematics. • Required Teaching Experience • Bachelor’s degree in Mathematics, Statistics, Physics. • Candidates with a Computer Science background may be considered if the degree includes a significant mathematics component. Knowledge, Attributes & Skills Required The ideal candidate will have demonstrable experience and knowledge in: • Discrete mathematics, mathematical logic and Boolean algebra • Basic algebra, matrix algebra and linear transformations • Arithmetic, calculus and discrete probability • Systems of linear equations and mathematical induction • MATLAB/Octave programming and mathematical problem-solving • Ability to explain complex mathematical concepts in a clear and engaging manner • Strong analytical and problem-solving skills • Ability to connect theoretical mathematics to computing and real-world applications • Effective communication and student engagement skills • Computer arithmetic, base conversions and recursive definitions Expected Learning Outcomes of the Unit Upon successful completion of this unit, students will be able to: • Apply recursive definitions in various contexts • Develop and implement MATLAB programs for mathematical problem-solving • Perform base conversions and understand computer arithmetic • Apply counting techniques and basic discrete probability • Use matrix algebra and solve systems of linear equations • Analyze logical arguments using propositional and predicate logic • Apply mathematical induction and Boolean algebra concepts • Understand the role of discrete mathematics in computer science • Present clear and structured solutions to mathematical problems Show more Show less
AQF Level 9 Master’s degree or higher in Mathematics. Required Teaching Experience. Bachelor’s degree in Mathematics, Statistics, Physics. Candidates with a Computer Science background may be considered if the degree includes a significant mathematics component.
Deliver lectures and tutorials in Discrete Mathematics and Logic to undergraduate students; Prepare and mark assessments in line with university standards; Provide academic guidance and support to students; Apply real-world and computational examples to enhance student understanding; Work closely with the Unit Coordinator and adhere to academic delivery guidelines; Utilize relevant teaching tools and platforms as required.
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